基于自然语言处理技术的中国氢能政策数据挖掘研究  

Study on data mining of hydrogen energy policy in China based on natural language processing technology

作　　者：黄冬玲 刘源 袁小帅 靳国忠 蔡远航 刘俐[2] 曹恒[1] 李婉君[1] 蔡睿[1] HUANG Dongling;LIU Yuan;YUAN Xiaoshuai;JIN Guozhong;CAI Yuanhang;LIU Li;CAO Heng;LI Wanjun;CAI Rui(Dalian Institute of Chemical Physics,Chinese Academy of Sciences;School of Information Science and Engineering,Dalian Polytechnic University;College of Information Engineering,Dalian University)

机构地区：[1]中国科学院大连化学物理研究所,大连116023 [2]大连工业大学信息科学与工程学院,大连116034 [3]大连大学信息工程学院,大连116022

出　　处：《中国科学院院刊》2024年第6期1032-1046,共15页Bulletin of Chinese Academy of Sciences

基　　金：中国科学院战略性先导科技专项(A类)(XDA21000000);中国科学院科技支撑碳达峰碳中和战略行动计划(GHJ-ZLZX-2022-14);中国工程院战略研究与咨询项目(2021-JY-01)。

摘　　要：党的二十大报告指出,“积极稳妥推进碳达峰碳中和”“加快规划建设新型能源体系”。氢能作为绿色低碳的二次能源,在促进可再生能源规模化高效利用、推动交通领域能源替代、加快工业领域深度脱碳等方面具有应用前景,是建设新型能源体系不可或缺的组成部分,也是实现碳达峰、碳中和的重要绿色解决方案。为全面系统研究我国氢能政策体系,文章调研621份我国中央和地方政府发布的氢能政策文件,基于政策信息学,利用自然语言处理技术挖掘氢能政策要素信息和结构化数据指标,结合文本分析、定量分析和数据可视化分析研究氢能政策发展演化轨迹、产业区域格局及产业链布局等特征,该研究框架及分析方法有利于提高研究氢能政策的系统性和时效性。基于上述研究,文章最后针对我国氢能产业的薄弱环节提出加速发展的政策建议。Report to the 20th National Congress of the CPC emphasized the importance of“working actively and prudently towards the goals of reaching peak carbon emissions and carbon neutrality”,as well as“speeding up the planning and development of a system for new energy sources”.As a green and low-carbon secondary energy source,hydrogen energy has multiple applications in promoting the large-scale and efficient use of renewable energy as well as energy substitution in the field of transportation.It can also accelerate decarbonization in industry,and as such,is an indispensable part of building a new energy system,reaching peak carbon emissions and achieving carbon neutrality.This study takes 621 hydrogen energy policy documents issued by national and local government as research objects,designating to comprehensively study the hydrogen energy policy system.Based on policy informatics,this study uses natural language processing technology to mine data deeply and draws on hydrogen energy policy element information and key data indicators.It also combines content analysis,quantitative analysis and makes use of data visualization technology to study the evolution of hydrogen energy policy.It examines evolution trajectory of hydrogen energy policy,regional patterns of industry,the industrial chain layout,and other characteristics.The research framework and analysis methods used herein can help improve the systematization and timeliness of hydrogen energy policy research and proposes hydrogen energy policy suggestions to accelerate the development of hydrogen energy.

关 键 词：氢能政策 政策分析 自然语言处理技术 数据挖掘 

分 类 号：TK91[动力工程及工程热物理] F426.2[经济管理—产业经济] TP391.1[自动化与计算机技术—计算机应用技术]